qa-observability
Implement OpenTelemetry logs/metrics/traces, SLI/SLO gates, burn-rate alerts, and APM integrations. Use when adding or validating observability.
What this skill does
# QA Observability and Performance Engineering Use telemetry (logs, metrics, traces, profiles) as a QA signal and a debugging substrate. Core references (see `data/sources.json`): OpenTelemetry, W3C Trace Context, and SLO practices (Google SRE). ## Quick Start (Default) If key context is missing, ask for: critical user journeys, service/dependency inventory, environments (local/staging/prod), current telemetry stack, and current SLO/SLA commitments (if any). 1. Establish the minimum bar: correlation IDs + structured logs + traces + golden metrics (latency, traffic, errors, saturation). 2. Verify propagation: confirm `traceparent` (and your request ID) flow across boundaries end-to-end. 3. Make failures diagnosable: every test failure captures a trace link (or trace ID) plus the correlated logs. 4. Define SLIs/SLOs and error budget policy; wire burn-rate alerts (prefer multi-window burn rates). 5. Produce artifacts: a readiness checklist plus an SLO definition and alert rules (use `assets/checklists/template-observability-readiness-checklist.md` and `assets/monitoring/slo/*`). ## Default QA stance - Treat telemetry as part of acceptance criteria (especially for integration/E2E tests). - Require correlation: request_id + trace_id (traceparent) across boundaries. - Prefer SLO-based release gating and burn-rate alerting over raw infra thresholds. - Budget overhead: sampling, cardinality, retention, and cost are quality constraints. - Redact PII/secrets by default (logs and attributes). ## Core workflows 1. Establish the minimum bar (logs + metrics + traces + correlation). 2. Instrument with OpenTelemetry (auto-instrument first, then add manual spans for key paths). 3. Verify context propagation across service boundaries (traceparent in/out). 4. Define SLIs/SLOs and error budget policy; wire burn-rate alerts. 5. Make failures diagnosable: capture a trace link + key logs on every test failure. 6. Profile and load test only after telemetry is reliable; validate against baselines. ## Quick reference | Task | Recommended default | Notes | |------|---------------------|-------| | Tracing | OpenTelemetry + Jaeger/Tempo | Prefer OTLP exporters via Collector when possible | | Metrics | Prometheus + Grafana | Use histograms for latency; watch cardinality | | Logging | Structured JSON + correlation IDs | Never log secrets/PII; redact aggressively | | Reliability gates | SLOs + error budgets + burn-rate alerts | Gate releases on sustained burn/regressions | | Performance | Profiling + load tests + budgets | Add continuous profiling for intermittent issues | | Zero-code visibility | eBPF (OpenTelemetry zero-code) + continuous profiling (Parca/Pyroscope) | Use when code changes are not feasible | ## Navigation Open these guides when needed: | If the user needs... | Read | Also use | |---|---|---| | A minimal, production-ready baseline | `references/core-observability-patterns.md` | `assets/checklists/template-observability-readiness-checklist.md` | | Node/Python instrumentation setup | `references/opentelemetry-best-practices.md` | `assets/opentelemetry/nodejs/opentelemetry-nodejs-setup.md`, `assets/opentelemetry/python/opentelemetry-python-setup.md` | | Working trace propagation across services | `references/distributed-tracing-patterns.md` | `assets/checklists/template-observability-readiness-checklist.md` | | SLOs, burn-rate alerts, and release gates | `references/slo-design-guide.md` | `assets/monitoring/slo/slo-definition.yaml`, `assets/monitoring/slo/prometheus-alert-rules.yaml` | | Profiling/load testing with evidence | `references/performance-profiling-guide.md` | `assets/load-testing/load-testing-k6.js`, `assets/load-testing/template-load-test-artillery.yaml` | | A maturity model and roadmap | `references/observability-maturity-model.md` | `assets/checklists/template-observability-readiness-checklist.md` | | What to avoid and how to fix it | `references/anti-patterns-best-practices.md` | `assets/checklists/template-observability-readiness-checklist.md` | | Alert design and fatigue reduction | `references/alerting-strategies.md` | `assets/monitoring/slo/prometheus-alert-rules.yaml` | | Dashboard hierarchy and layout | `references/dashboard-design-patterns.md` | `assets/monitoring/grafana/template-grafana-dashboard-observability.json` | | Structured logging and cost control | `references/log-aggregation-patterns.md` | `assets/observability/template-logging-setup.md` | Implementation guides (deep dives): - `references/core-observability-patterns.md` - `references/opentelemetry-best-practices.md` - `references/distributed-tracing-patterns.md` - `references/slo-design-guide.md` - `references/performance-profiling-guide.md` - `references/observability-maturity-model.md` - `references/anti-patterns-best-practices.md` - `references/alerting-strategies.md` - `references/dashboard-design-patterns.md` - `references/log-aggregation-patterns.md` Templates (copy/paste): - `assets/checklists/template-observability-readiness-checklist.md` - `assets/opentelemetry/nodejs/opentelemetry-nodejs-setup.md` - `assets/opentelemetry/python/opentelemetry-python-setup.md` - `assets/monitoring/slo/slo-definition.yaml` - `assets/monitoring/slo/prometheus-alert-rules.yaml` - `assets/monitoring/grafana/grafana-dashboard-slo.json` - `assets/monitoring/grafana/template-grafana-dashboard-observability.json` - `assets/load-testing/load-testing-k6.js` - `assets/load-testing/template-load-test-artillery.yaml` - `assets/performance/frontend/template-lighthouse-ci.json` - `assets/performance/backend/template-nodejs-profiling-config.js` Curated sources: - `data/sources.json` ## Scope boundaries (handoffs) - Pure infrastructure monitoring (Kubernetes, Docker, CI/CD): `../ops-devops-platform/SKILL.md` - Database query optimization (SQL tuning, indexing): `../data-sql-optimization/SKILL.md` - Application-level debugging (stack traces, breakpoints): `../qa-debugging/SKILL.md` - Test strategy design (coverage, test pyramids): `../qa-testing-strategy/SKILL.md` - Resilience patterns (retries, circuit breakers): `../qa-resilience/SKILL.md` - Architecture decisions (microservices, event-driven): `../software-architecture-design/SKILL.md` ## Tool selection notes (2026) - Default to OpenTelemetry + OTLP + Collector where possible. - Prefer burn-rate alerting against SLOs over alerting on raw infra metrics. - Treat sampling, cardinality, and retention as part of quality (not an afterthought). - When asked to pick vendors/tools, start from `data/sources.json` and validate time-sensitive claims with current docs/releases if the environment allows it. ## Fact-Checking - Use web search/web fetch to verify current external facts, versions, pricing, deadlines, regulations, or platform behavior before final answers. - Prefer primary sources; report source links and dates for volatile information. - If web access is unavailable, state the limitation and mark guidance as unverified.
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